How to create an authentic dark file?

[exowanderer]

• pyNRC version: 0.8.0
• Python version: 3.6.7
• Operating System: Ubuntu 18.04 LTE

Description

I am trying to generate authentic dark current files to help simulate background noise properties and use those to mitigate future TSO observational simulations. This would go slightly above nghxrg by having 'real' dark current.

My solution was to generate an image of a star that is too faint for NRC to detect (M_ab ~ 50); but I would be very happy to see "get_dark_current", "get_bias", "get_noise_signals" functions.

What I Did

import pynrc
pynrc.generate_dark_current()

AttributeError: module 'pynrc' has no attribute 'get_dark_current'

[JarronL]

Been a couple years, but check out the latest develop branch of pynrc: https://github.com/JarronL/pynrc/tree/develop (to be pushed to the main branch soon). Specifically the simulate_detector_ramp in pynrc.simul.ngNRC.py.

Input requires a NIRCam cal object using the nircam_cal class in pynrc.reduce.calib.py.

All NIRCam cal files here for simulating realistic ramps: http://mips.as.arizona.edu/~jleisenring/pynrc/